Join our team of AI and RPA developers and engineers.  Experience with intelligent automation tools is a plus.


Santa Clara



What You’ll Do

  • As an AI Engineer, you will work with product managers, architects, DevOps engineers and a diverse team of developers across the organization. You will use your skills and experience to guide design and implement highly scalable, resilient and secure solutions using GCP platform and its tools, enabling cutting-edge business solutions.

  • The ideal candidate will have a background in computer science or a related technical field and have experience delivering solutions using a broad set of AI solutions in the retail industry. The ideal candidate will have a passion for their craft and be self-motivated, highly collaborative, and take pride in being part of a team that delivers quality solutions in a fast-paced environment.

Main responsibilities

  • Do intensive Data analysis and create training and validation data sets

  • As an AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and AI Platform.

  • Design, implement and support highly scalable solutions support various initiatives in Retail marketing.

  • You will work with product managers and architects to identify opportunities to apply machine learning in their areas

  • Assist in deploying models

  • Investigate and resolve performance issues in a timely manner.

  • Identify opportunities and develop scripts to automate the tasks where possible to minimize repetitive manual work and improve consistency and quality of delivered work product.

  • Providing guidance and assistance to peers and other team members in related job functions.

  • Iteratively document the design and operation of implemented services to allow consumer, engineering, DevOps, and support partners to easily understand, use, and provide support.

  • Adhere to architectural, design, compliance, and security guidelines.

  • Assure quality, security and compliance requirement are met for supported area.

What we are searching for

  • Bachelor's degree in Computer Science, Mathematics, or a related technical field, or equivalent practical experience.

  • Direct experience building machine learning solutions.

  • Experience coding in one or more languages (such as Python, Scala, Java, Go, or similar) with experience in data structures, algorithms, and software design.

  • Experience working on Google or similar cloud platforms.

  • Experience working with recommendation engines, data pipelines and distributed machine learning.

  • Preferred qualifications:

  • Relevant experience in technical consulting.

  • Experience with deep learning frameworks (such as l, Torch, Caffe, Theano).

  • Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (such as Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).

  • Understanding of the auxiliary practical concerns in production ML systems.